Software Engineer, Backend

Madrona Venture Labs; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Madrona Venture Labs is looking for a backend/infrastructure engineer to join their founding team in Bengaluru, India. The role focuses on building efficient, secure, and highly scalable ML and data pipelines. Ideal candidates will bring experience in large scale data processing and a relevant degree in Computer Science. Join a rapidly growing company catering to Fortune100 clients and help shape the future of data insights with generative AI.

Qualifications

• Experience working on large scale data pipelines.
• Bachelor's or Master's degree in Computer Science or related field.
• Experience working in startup/fast paced teams is highly desirable.

Responsibilities

• Build large scale data pipelines to handle latency critical analytical workloads.
• Work with modern cloud infrastructure to build cost efficient and scalable systems.
• Work closely with customers and founders to define the product and engineering roadmap.
• Shape up the engineering culture and tech stack for the company.

Skills

Experience working on large scale data pipelines

Startup/fast paced environment experience

Education

Bachelor's or Master's degree in Computer Science or related field

Job description

Location

Bengaluru

Employment Type

Full time

Location Type

On-site

Department

Engineering

About Wisdom

WisdomAI has the mission to provide access and insights from data to everyone. We believe in the power of data to drive better decisions and we believe with Generative AI, there is an opportunity to bring a disruptive change in how employees access insights within their organization. This is a great time to join the company as we have multiple Fortune100 companies as paying customers and still are early enough that you will get to define a lot of the product/engineering roadmap.

Role

We are looking for a backend/infrastructure engineer to join our founding team. We are working on building ML and data pipelines, which can be efficient, secure and highly scalable by design.

Job responsibilities

• Build large scale data pipelines to handle latency critical analytical workloads.

• Work with modern cloud infrastructure to build cost efficient and scalable systems.

• Work closely with customers and founders to define the product and engineering roadmap.

• Shape up the engineering culture and tech stack for the company.

Qualifications

• Experience working on large scale data pipelines.

• Bachelor's or Master's degree in Computer Science or related field.

• Experience working in startup/fast paced teams is highly desirable.